Pattern (PTRN) Shares Outstanding (Diluted) (2024 - 2026)
Pattern's Shares Outstanding (Diluted) was 181.19 million in Q2 2026, up 100.0% from 90.59 million a year earlier and up 1.0% from the prior quarter.
Pattern (PTRN) Shares Outstanding (Diluted) (2024 - 2026) Analysis & Trends
For FY2025, Shares Outstanding (Diluted) at Pattern came in at 115 million, up 26.7% from FY2024.
- In earlier years, Shares Outstanding (Diluted) was 90.77 million in FY2024 (unchanged) and 90.77 million in FY2023.
- The Q2 2026 figure marks the highest quarterly Shares Outstanding (Diluted) in data going back to Q3 2024.
- Compared with a year earlier, Shares Outstanding (Diluted) has increased for four straight quarters, with growth averaging 59.2% over the last four quarters.
- Per Business Quant data, PTRN's Shares Outstanding (Diluted) in the three quarters before Q2 2026 was 179.46 million (Q1 2026), 115 million (Q4 2025) and 101.75 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 10.90 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 996.00 Mn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 1.12 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 560.00 Mn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 319.45 Mn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 456.60 Mn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 828.88 Mn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 739.96 Mn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 16.85 Mn |
| 10 | Pattern | 2.61 Bn | 1.31 Bn | 384.36 Mn | 181.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 181.19 Mn |
| Mar 31, 2026 | 179.46 Mn |
| Dec 31, 2025 | 115.00 Mn |
| Sep 30, 2025 | 101.75 Mn |
| Jun 30, 2025 | 90.59 Mn |
| Mar 31, 2025 | 90.59 Mn |
| Dec 31, 2024 | 90.77 Mn |
| Sep 30, 2024 | 90.77 Mn |
Pattern Shares Outstanding (Diluted) API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=shares-outstanding-diluted&ticker=PTRN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "PTRN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=shares-outstanding-diluted&ticker=PTRN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();